This paper aims to make the super-resolution of a high-resolution image from a sequence of low-resolution frames containing non-stationary objects. The challenges of making super-resolution image, like unavoidable smoothing effects, introduction of artifacts, computational efficiency in time and computational efficiency in memory requirements, are considered and a novel method is proposed to so...

reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. it also decreases memory and transmission bandwidth requirements. moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. in this paper, the kohene...

An adaptive tracking filter for maneuvering targets is developed. The approach is based on matched filtering of the innovations sequence. Analytical solutions based on the invariant subspace method for time-invariant kinematic models along with the corresponding steady-state Kalman filter kernels are derived. Asymptotic and finite-memory operating characteristics are deduced. The proposed adapt...

Problem statement: Subdivision surfaces were applied to the entire meshes in order to produce smooth surfaces refinement from coarse mesh. Several schemes had been introduced in this area to provide a set of rules to converge smooth surfaces. However, to compute and render all the vertices are really inconvenient in terms of memory consumption and runtime during the subdivision process. It will...

We have developed a parallel adaptive eigenvalue solver and applied it to a model problem in theoretical materials science. Our method combines adaptive mesh reenement techniques with a novel multigrid eigenvalue algorithm. By exploiting adaptivity, we have reduced computation time and memory consumption by more than two orders of magnitude. We have implemented our solver using the LPARX parall...

We introduce a novel term, memory-adaptive, that intuitively captures what it means for a distributed protocol to most efficiently make use of its shared memory. We also prove three results that relate to our memory-adaptive model. In our store/release protocols processors are required to store a value in shared MWMR memory so that it cannot be overwritten until it has been released by the proc...

Adaptive nonlinear filtering plays an important role in audio signal processing and echo control. In this contribution a nonlinear system identification method is proposed. The setup is built using adaptive Volterra filters of second and third order with the same memory length. The adaptation is achieved using a Normalized Least Mean Square algorithm with a proper selected stepsize parameter fo...

determination of mobile localization with time of arrival (toa) signal is a requirement in cellular mobile communication. in some of the previous methods, localization with non-line-of-sight (nlos) paths can lead to large position error. also for simplicity, in most simulations suppose non stationary actual environments as stationary. this paper proposes (residual test + recursive least square)...